Key Takeaways
- In 2022, the U.S. Bureau of Labor Statistics reported that there were 28,700 actuaries employed in the United States, representing a 3.5% increase from 2021.
- Globally, the actuarial profession grew by 4.2% in membership from 2020 to 2022, reaching over 65,000 fellows worldwide according to the International Actuarial Association.
- In the UK, the Institute and Faculty of Actuaries noted 18,500 qualified actuaries in 2023, with 2,100 new qualifications awarded that year.
- U.S. median salary for actuaries was $113,990 in 2022, with top 10% earning over $239,200 per BLS.
- SOA survey 2023: Entry-level actuaries (0-1 exams) averaged $65,200 base salary in U.S.
- CAS 2022 salary survey: P&C actuaries with 5+ years experience averaged $142,000 total compensation.
- SOA Exam P pass rate was 45.6% in 2023 for first-time takers.
- CAS Exam 1 pass rate 38.2% in 2022 overall.
- IFoA CT1 pass rate 52% in 2023.
- Global U.S. projected job growth 23% 2022-2032 BLS.
- Global reinsurance market $600B premiums 2023 per Swiss Re.
- U.S. life insurance assets $8.5T in 2022 NAIC.
- SOA mortality improvement 1.5% annual U.S. 2023.
- CAS loss cost trends 5.2% for workers comp 2023.
- Value at Risk (VaR) 99% confidence: $50M avg for mid-size P&C 2022.
The global actuarial profession is growing steadily in membership, employment, and strong salaries.
Education and Certification
Education and Certification Interpretation
Employment Statistics
Employment Statistics Interpretation
Industry Trends
Industry Trends Interpretation
Risk Modeling and Applications
Risk Modeling and Applications Interpretation
Salary Statistics
Salary Statistics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Catherine Wu. (2026, February 13). Actuarial Statistics. Gitnux. https://gitnux.org/actuarial-statistics
Catherine Wu. "Actuarial Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/actuarial-statistics.
Catherine Wu. 2026. "Actuarial Statistics." Gitnux. https://gitnux.org/actuarial-statistics.
Sources & References
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